Data Driven Learning (Applied Linguistics)
AN INVESTIGATION INTO THE RELATIVE EFFECTIVENESS OF DATA-DRIVEN LEARNING (DDL) WITH INTEGRATION INTO PPP AND III
... (a) Data- Driven Learning (DDL) with integration into Present-Practice-Produce (PPP) and (b) Illustration-Interaction-Induction ...concordance data, which by and large seemed to demotivate ...
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Effectiveness of English Preposition Learning through Data-Driven Learning (DDL)
... paper-based data-driven learning (DDL) method in developing young Thai students in learning three English prepositions, which are ‘during’, ‘among’ and ‘between’, and to examine the attitudes ...
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The Effect of Data Driven Learning on Receptive Vocabulary Knowledge of Yemeni University Learners
... for learning vocabulary effectively explains why EFL university learners still have limited vocabulary ...language learning. One of these tools is corpora, also known as data-driven ...
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Lexical Awareness and Development through Data Driven Learning: Attitudes and Beliefs of EFL Learners
... Data-driven learning (DDL) has become an innovative approach developed from corpus ...vocabulary learning strategies did not increase ...corpus, Data Driven Learning, ...
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Data driven learning of symbolic constraints for a log linear model in a phonological setting
... in learning methods for OT-style ...for learning constraint weights or orderings (Tesar and Smolensky, 2000; Boersma and Hayes, 2001; Goldwater and Johnson, 2003) when the constraint definitions are ...uses ...
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Concordance-Based Data-Driven Learning Activities and Learning English Phrasal Verbs in EFL Classrooms
... of learning English as a foreign language due to their semantic opacity and structural differences between English and learners’ first ...paper-based data-driven learning (DDL) activities, as ...
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Data-Driven Learning of Boolean Networks and Functions by Optimal Causation
... of data points required for learning random Boolean networks with no ...for learning random Boolean networks of fixed size n = 50 and degree K = ...
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Integrating cognitive linguistics insights into data-driven learning: Teaching vertical prepositions
... For instance, Boers (2013) in his review of Boers and Demecheleer (1998) points to the insufficient detail in relation to the quantitative data in the study. He notes that the study does not mention the type of ...
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Surrogate Model Construction, Data Assimilation, and Data-Driven Equation Learning to Enable Nonproliferation Capabilities.
... investigate data-driven equation learning techniques to enable nonprolif- eration ...employ data-driven learning techniques to approx- imate the dynamics of radioactive ...to ...
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Data Driven Computing
... descriptive data sets of macroscopic field ...experimental data is similarly descriptive remains comparably limited, however fu- ture experimental methods might eventually extend the range of experimentally ...
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Metric learning method aided data-driven design of fault detection systems
... metric learning which has been used extensively in the pattern classification ...metric learning is to learn a Mahalanobis distance [17] which can represent an accurate relationship between feature vector ...
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Learning when to point: A data driven approach
... In what follows, we use data from 8 dyads. Similar to Gatt and Paggio (2013), we only consider utterances by Directors. These were transcribed and split up according to the landmark to which they corresponded. In ...
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EVOLUTION DATA-DRIVEN
... basket data as a density estimation problem rather than a search ...oriented data mining ideas with more traditional inferential theories from ...in data mining occurs at this interface of ...
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Data-Rate Driven Transmission Strategies for Deep Learning Based Communication Systems
... for data rate due to an increasing number of communication devices and equipment types, and improved quality of services ...high data-rate schemes should be developed in DL-based communication systems for ...
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Towards data driven selection of a penalty function for data driven Neyman tests
... compared to traditional tests. For many cases considered in Tables 2–4, further comparisons with the powers of the solution proposed by Bickel and Ritov [3], the classical chi-square test, as well as many data ...
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Approximating Learning Curves for Active-Learning-Driven Annotation
... trade-off between additional annotation costs and gain in classifier performance is falling below some threshold. For uncertainty-based AL, further stopping criteria employ- ing a confidence estimate of the current ...
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Legitimising data driven models: exemplification of a new data driven mechanistic modelling framework
... imise data-driven hydrological models is addressed using an example of a simple artificial neural network modelling prob- ...Many data-driven models in hydrology have been crit- icised for ...
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A Data Driven Approach to SAR Data Focusing
... raw data processing techniques assume uniform motion of the satellite (or aerial vehicle) and a fixed antenna beam pointing sideway orthogonally to the motion path, assumed ...SAR data processing is a well ...
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Mobile edge computing-based data-driven deep learning framework for anomaly detection
... big data, in ...Big Data. His research interests include wireless networks, big data analysis, and intelligent ...Big Data in WCSP 2016 and Machine Type Communications in WPMC 2016 and was a ...
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